Visual Detection of Ethanol in Alcoholic Beverages Based on Polydiacetylene Vesicles
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    Abstract:

    As the quality of life improves, the consumption of alcoholic beverages is gradually increasing, leading to heightened market supervision and consumer focus on quality and ethanol testing. Consequently, there is a pressing need to develop novel ethanol detector that is simple to operate, provides rapid detection, and yields intuitive results. The author has designed and developed polydiacetylene (PDA) vesicles for detecting ethanol volume fraction in beverages. The ethanol in the alcoholic beverage disrupts the structure of the PDA vesicles and interacts with their functional groups, causing a gradual color change in the vesicles from blue in the absence of ethanol to red in its presence, thereby allowing for the detection of the ethanol volume fraction in the product. The results demonstrated a good linear relationship between the ethanol volume fraction (30%~90%) and the colorimetric response (CR) of the PDA vesicles. The relative standard deviation in real wine sample detection ranged from 1.45%~2.23%, with color changes being easily detectable to the naked eye. This method is both efficient and convenient, offering the advantages of visual accessibility and rapid response, thereby providing a novel approach for ethanol detection in alcoholic beverages.

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CHEN Luo, ZHANG Yu-ting, WANG Xiao-li, ZHOU Nan-di. Visual Detection of Ethanol in Alcoholic Beverages Based on Polydiacetylene Vesicles[J]. Journal of Food Science and Biotechnology,2024,43(8):50-57.

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  • Online: December 11,2024
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